Maize (Zea mays L.) is a major global crop, widely produced and consumed in Bolivia. Due to its high nitrogen demand, maize cultivation often leads to soil degradation. Traditionally, maize has been intercropped with beans, which fix nitrogen and contribute to soil fertility. Intercropping is also known t o suppress w eeds and p ests. Wh ile maize-bean intercropping has a long history i n Bolivia, no studies have evaluated wh ich bean cultivars optimize maize y ield under l ocal c onditions. Th is s tudy assessed the effects of various bean cultivars on maize production. We intercropped four legume species —mucuna (Mucuna pruriens), crotalaria (Crotalaria juncea), soybean (Glycine max), and cowpea (Vigna unguiculata)—with “Choclo blanco,” the most commonly cultivated maize variety in Bolivia. For comparison, th e experiment also included treatments of s ole-cropped maize and maize with nitrogen- fixing m icrobial fertilizer. O ur r esults s h owed t hat i ntercropping maize with mucuna y ielded th e highest productivity, increasing maize yield by over 40% compared to sole-cropped maize. This method also reduced pest occurrence to a level comparable to that achieved with microbial fertilizer treatment.
This study analyzed Bolivian farmers’ perceptions of and the effectiveness of the KOPIA agricultural support program. A survey of 171 respondents assessed their experiences with program participation, the types of support received, perceived changes, preferred forms of assistance, participation modalities, and their trust in KOPIA’s technical support. The majority of respondents evaluated the program positively, specifically highlighting improvements in crop productivity and income, the acquisition of new agricultural technologies, and access to high-quality seeds and inputs. Farmers’ high level of trust in KOPIA stemmed from the provision of quality resources, the practical utility of introduced technologies, the professionalism and accountability of technical staff, the availability of training and educational opportunities, and consistent, transparent project management. The findings indicate that KOPIA’s field-oriented technology transfer and continuous support enhance farmers’ productivity, self-reliance, and trust, thereby significantly impacting local agricultural development.
This study examined the current status of manure and compost management on Hanwoo farms, considering barn area, to identify management characteristics and practical problems related to farm s ize. We surveyed 60 Hanwoo f arms u sing q uestionnaires from March t o Jul y 2025. Statistical analysis was performed using the chi-square test and Fisher’s exact test. The most common manure collection i nterval was t hree t o six m onths, w ith no s tatistical l y significant d ifferences a cross b arn area groups. Manure was primarily stored in composting sheds within the farm or inside cattle barns. Internal barn storage w as m ore preval ent on small er farms, t hough this d ifference was not significant. M ost farms managed manure treatment independently. Composting was mainly conducted through simple piling or manual turning. Simple piling was more c ommon on farms with barn areas o f 900 t o 1,499 m², while manual turning was more frequent on larger farms. The typical composting period was three to six months, and many farms turned the compost more than twice before shipment, although a considerable number performed no turning. Compost temperature was neither measured nor recorded on most farms, primarily due to a lack of knowledge about recording methods, low awareness of management necessity, and the absence of rel ated equipment. These resul ts indicate some descriptive d ifferences in management patterns based on barn area, despite most comparisons not being statistically significant. The findings suggest that technical support may need to be tail ored to farm s ize. For smal l and medium-sized farms, improvements in compost turning, storage conditions, and temperature monitoring may be necessary. Larger farms may require more regul ar recording and management, though no s ignificant d ifference was found in this regard. This information may be valuabl e for future l ivestock manure management policies and for guiding field-oriented technical support.
This study evaluated the growth characteristics of Chinese cabbage (Brassica rapa subsp. pekinensis) cultivars under semi-highland summer cropping conditions to screen cultivars suitable for stable summer production. A total of fourteen cultivars, including domestic trial cultivars and cultivars introduced from subtropical or tropical regions, were cultivated in a semi-highland region of Korea during the summer growing season. Field experiments were conducted following standard cultivation practices, and plant growth was monitored through weekly non-destructive observations. Destructive sampling was performed at the heading stage (60 days after transplanting) to assess final growth performance and head characteristics. Growth traits, including shoot fresh weight, leaf number, leaf length and width, head height, head width, head weight, and marketable yield, were evaluated. In addition, the incidence of physiological disorders such as tipburn and major diseases, including soft rot and downy mildew, was recorded throughout the cultivation period. Cultivar-dependent differences were observed in growth performance, head formation stability, and tolerance to physiological disorders and diseases. Some cultivars introduced from subtropical or tropical regions exhibited rapid early growth; however, increased disease incidence and reduced head stability were observed during the late growth stage. In contrast, several domestic trial cultivars showed relatively stable head development and lower incidence of disease and physiological disorders under semi-highland summer conditions. These results indicate that cultivar selection emphasizing stable head formation and tolerance to biotic and abiotic stresses, rather than rapid early growth, plays a critical role in stabilizing summer Chinese cabbage production in semi-highland regions. Overall, this study provides fundamental information for selecting suitable lines and for establishing cultivation strategies for semi-highland summer Chinese cabbage production systems.
This study evaluated the regional adaptability of 20 chili pepper (Capsicum annuum L .) accessions from the World Vegetable Center (WorldVeg) under Korean field conditions over two consecutive growing seasons (2024–2025), using commercial cultivars as controls. Seedling vigor, vegetative growth, fruit characteristics, capsaicinoid content, and disease incidence were comprehensively assessed to identify genetic resources with high breeding potential for climate-resilient production. Significant accession-dependent variation was observed in seedling vigor, plant architecture, fruit morphology, yield, and marketability. Although excessive soil moisture and suboptimal field conditions negatively affected overall plant growth and productivity in both years, distinct differences among accessions remained evident. Accessions producing smaller, slender fruits generally exhibited lower disease and pest incidence and higher marketability compared with large-fruited types. Capsaicinoid analysis revealed substantial variation among accessions, and discrepancies between Pun1 marker genotypes and measured capsaicinoid levels highlighted limitations in marker-based pungency prediction. In 2024, AVPP22009 showed the highest capsaicinoid content and strong pest tolerance despite its small fruit size, whereas AVPP22002 displayed desirable fruit morphology but greater susceptibility to damage. In 2025, AVPP2070, AVPP2072, and AVPP22072 demonstrated superior growth and marketability, coupled with relatively low disease incidence. These findings emphasize the importance of an integrated evaluation of morphological, biochemical, and resistance traits in selecting breeding materials. The identified accessions represent valuable genetic resources for developing chili pepper cultivars with enhanced heat tolerance, disease resistance, and stable productivity under changing climatic conditions. This study provides foundational insights to support sustainable chili pepper breeding strategies in Korea.
Sweet potato (Ipomoea batatas L.) is a major food crop cultivated worldwide, serving as a low-cost, high-carbohydrate staple in developing countries such as Zimbabwe. However, the white-fleshed sweet potato varieties traditionally grown in Zimbabwe are low in beta-carotene, limiting their ability to combat vitamin A deficiency (VAD), a significant nutritional and social issue in the region. While orange-fleshed sweet potato offers potential as a vitamin A source, empirical comparative data on its agronomic performance and consumer acceptability under Zimbabwean conditions are scarce. This study aimed to identify locally adaptable sweet potato varieties by comparing their growth characteristics, h arvest t raits, d ry m atter properties, an d sensory a ttributes. A 1 32-day f ield trial was conducted at the KOPIA Zimbabwe Centre in Hatcliffe, Harare, using two orange-fleshed varieties (Zambezi and Beauregard) and one white-fleshed variety (Chingova). Growth traits, including the number of nodes, vine length, and vine diameter, were measured from 40 to 100 days after planting. At harvest, fresh weight, dry matter weight, and dry matter percentage (DM%) were determined. Sensory evaluation involved 50 consumers who rated the varieties on a 7-point hedonic scale after a preliminary test established a 30-minute cooking time. Among the orange-fleshed varieties, Zambezi exhibited the most vigorous vegetative growth and higher fresh weight than Beauregard, although within-variety variation was observed. Chingova showed more uniform harvest traits. Beauregard displayed high DM% in some vines, but with notable variability. In the sensory evaluation, Zambezi received significantly higher scores for taste, texture, and overall acceptability than Beauregard. Female participants specifically rated Zambezi higher for sweetness and overall acceptability. These findings suggest that Zambezi demonstrated relatively superior agronomic performance and consumer acceptance under Zimbabwean conditions, providing a basis for further on-farm validation trials.
Bacterial wilt, caused by Ralstonia solanacearum, is one of the most destructive soil-borne diseases a ffecting p epper ( Capsicum annuum L.) production. Developing resistant cultivars is considered the most effective strategy for sustainable disease management. This study investigated the genetic basis of bacterial wilt resistance using an F₂ population derived from a cross between the resistant line ‘FRH1’ a nd t he s uscep tible line ‘ Saengryeok211’. A total o f 180 F ₂ individuals were evaluated for disease response following artificial inoculation with R. solanacearum. Disease severity was assessed using a disease index (DI) scale based on wilting symptoms, and the distribution of DI values showed continuous variation. Classifying individuals with DI 0–1 as resistant and those with DI 2–4 as susceptible, the segregation ratio fit the expected 1:3 ratio, suggesting that resistance may involve a recessive major gene. A genetic linkage map was c onstructed u sing single nucleotide p olymorp hism ( SNP) m arkers d erived from genotyping-by-sequencing (GBS) data. Composite interval mapping subsequently identified a genomic region on chromosome 5 associated with bacterial wilt resistance. This identified Quantitative Trait L ocus ( QTL) e xp lained a s ignificant p rop ortion o f phenotyp ic v ariation a nd o ffers v aluable information for marker-assisted selection in pepper breeding programs.
Temperature-dependent development rates fundamentally shape insect phenology, population dynamics, and geographical distribution. However, the mathematical models commonly used to describe these relationships often provide good statistical fits without directly interpretable biological parameters. Here, we developed and evaluated three alternative parameterizations of the Gaussian thermal performance curve that explicitly incorporate entomologically meaningful thermal thresholds: base temperature (Tbase), optimum temperature (Topt), and maximum temperature (Tmax), along with dimensionless width parameters (ω). These reparameterizations transform abstract curve descriptors into parameters that directly correspond to the thermal limits governing insect life cycles, thereby enhancing both biological interpretation and practical application in phenology prediction. We developed three distinct model variants by adjusting the parameterization of the Gaussian core: (1) a lower-threshold variant using Tbase, suitable for cold-limited systems; (2) an upper-threshold variant using Tmax, appropriate for heat-limited scenarios; and (3) an asymmetric dual-threshold variant incorporating both limits. Each of these three model variants was implemented separately, fitted independently to development rate data, and produces its own thermal performance curve and set of parameter estimates. They were implemented in R using multi-start nonlinear regression and applied to development rate data for four life stages (eggs, larvae, pupae, and egg-to-adult) of the cotton bollworm, Helicoverpa armigera (Hübner, 1808), a major agricultural pest. The lower- a nd u pper-threshold v ariants performed nearly i dentically t o the traditional Taylor-Lamb formulation (R² > 0.98) while yielding directly interpretable thermal parameters. Tbase estimates ranged from 11.0°C to 16.4°C across life stages, and the dimensionless width factor ω (0.63-0.90) provided a scale-independent measure of thermal specialization. In contrast, the dual-threshold variant showed clear overparameterization (adjusted R² as low as 0.60), with biologically implausible estimates (e.g., Tbase = -0. 97°C for larvae) and boundary-constrained width factors. This demonstrates that asymmetric formulations require richer datasets than typically available from constant-temperature experiments. The lower- and upper-threshold variants offer parsimonious alternatives that bridge the gap between mathematical description and biological meaning, facilitating more robust phenology predictions and improved communication between modelers and applied entomologists. We recommend the lower- or upper-threshold variant for most insect phenology applications, reserving the dual-threshold formulation for comprehensive datasets spanning both lower and upper thermal limits.
Taiwan’s fresh blueberry market is primarily supplied by imports, with locally produced fruit occupying a premium niche due to i ts freshness, bloom retention, and product differentiation. This study assessed the feasibility of exporting Korean fresh blueberries to Taiwan by integrating: (i) field-based industry and market observations; (ii) weekly harvest records from 12 blueberry genotypes, including cultivars and local hybrid lines, collected in 2025 from the Agricultural Technology Research Institute (ATRI) research field; and (iii) a review of Taiwan’s import requirements. These requirements include plant quarantine procedures administered by the Animal and Plant Health Inspection Agency (APHIA), border food inspection under the Ministry of Health and Welfare (MOHW) by the Taiwan Food and Drug Administration (TFDA) system, and pesticide-residue compliance. Taiwan’s blueberry imports expanded significantly from 242.6 tons in 2010 to 6,695.9 tons in 2025, indicating rapid growth in the fresh blueberry market. ATRI harvests were heavily concentrated in weeks 18–23, suggesting that export competitiveness may rely on targeting off-peak market windows and consistently delivering premium quality rather than competing primarily on price. Regulatory compliance emerged as a critical constraint, particularly the protocol-based approach for market access and the “non-detect” principle applied to pesticides without established MRLs. We conclude that Korean exports would be most viable when supported by cultivar selection emphasizing firmness and bloom retention, lot-based residue verification aligned with Taiwan’s MRLs, a nd s tandardized forced-air p recooling with end-to-end c old-chain management.
Laos faces a critical challenge of childhood malnutrition, with 33% of children under five experiencing stunting and an annual per capita milk consumption of only 7.3 kg. Despite recent increases in school feeding budgets and ongoing dairy sector development, there is no empirical evidence regarding the demand for or financial feasibility of introducing a school milk program in the country. This study surveyed 150 parents and 51 school staff in Vientiane Province, Laos. It applied a conditional logit model and a double-bounded contingent valuation method to assess preferences for product attributes, willingness to pay (WTP), and financial feasibility under three funding scenarios. Results indicate strong demand from both groups: 93.34% of parents and 72.55% of school staff recognize the need for a school milk program, and 90.67% of parents are willing to contribute financially. Both groups significantly preferred fortified and domestically produced milk. The probability of selecting Lao-produced milk was 3.66 times higher among school staff and 1.87 times higher among parents compared to imported alternatives. Average WTP was estimated at 16,441 kip for parents and 6,703 kip for school staff. Financial feasibility analysis showed that combining school budgets with parental cost-sharing could enable once-weekly provision of regular milk in 40–42 schools (95–100%) and fortified milk in 31–42 schools (74–100%). Feasibility further improved with a modest government subsidy of 1,000 kip per serving. These findings establish the first empirical baseline on school milk demand in Laos, demonstrating that a financially sustainable program is viable under a cost-sharing model.
Contract farming (CF) is widely promoted as a means of improving smallholder livelihoods. However, participation remains limited, and contract violations persist in many developing countries, including Vietnam. This study analyzes the strategic interaction between farmers’ contract choices and agribusiness companies’ compliance decisions in CF within Vietnam’s Mekong Delta rice industry. The study utilized expert-based data collected from four rice production specialists and sixteen managerial and administrative officials representing key agricultural institutions in Can Tho and Hau Giang provinces of the Mekong Delta, Vietnam. An extensive-form game with perfect information, combined with multi-attribute utility theory (MAUT), was developed to capture multi-actor decision-making processes and preferences across multiple attributes. Farmers choose between not participating, engaging in cooperative-mediated contracts with varying support levels, or opting for direct contract farming. Agribusiness companies, in turn, decide whether to comply with or violate these agreements. Our findings reveal that expected price is the most influential factor for farmers’ decisions, while expected profitability drives agribusiness companies’ choices. Cooperative-mediated contracts offering stronger support and monitoring lead to greater benefits for farmers and reduced exposure to contract violations. Conversely, direct contract farming with weak support often results in significant welfare losses for farmers due to agribusiness noncompliance. The subgame perfect equilibrium points to cooperative-mediated contracts with robust support, monitoring, and full contract compliance. This suggests that strengthening cooperative-based intermediary institutions, enhancing contract support and monitoring mechanisms, and designing contracts that align with all parties’ preferences are v ital f or f ostering s elf-enforcing agreements and sustainable contract farming arrangements. This study contributes to the literature by providing an analytical framework to examine farmers’ contract choices and agribusiness c ompanies’ compliance d ecisions. It offers n ew insights into how c ontract attributes and strategic incentives jointly shape decision-making and optimal strategies, thereby improving our understanding of how to design self-enforcing and sustainable contract farming arrangements.
This study aimed to strengthen food security in 10 AFACI (Asian Food and Agriculture Cooperation Initiative) member countries by developing climate-resilient rice (Oryza sativa L.) lines and establishing a multinational breeding network. The initiative responds to the climate crisis by focusing on elite rice lines tolerant to abiotic stresses (drought, salinity, and submergence). An analysis of rice cultivation e nvironments in these c ountries r evealed that a p proximately 3 5.2% ( 16.74 M ha) of t he t otal area (47.6 Mha) is disaster-prone. Drought was the most prevalent threat (19.9%), followed by salinity (8.3%) and submergence (7.9%). Bangladesh (62.7%) and Thailand (60.6%) showed the highest sensitivity to these stresses. Using the Standard Evaluation System (SES) and an Augmented-RCBD design, 86 elite lines were selected through multi-location 'hotspot' testing. These included 32 lines for drought tolerance, 29 for salinity tolerance, and 25 for submergence tolerance. Notably, IR16F1148 (tolerant to salinity and submergence) and IR13084-B-1456-1 (tolerant to drought and submergence) were identified as key genetic resources for addressing climate variability. These lines will undergo further evaluation in Stage 2 Multi-environment Trials (MET) to facilitate rapid variety registration and dissemination. The established breeding network, supported by standardized digital data management via the Enterprise Breeding System (EBS), enhances breeding efficiency and ensures data integrity. This network serves as a critical foundation for climate-resilient agricultural productivity in the AFACI region.
This study examines the Ghout Oasis system in the Souf region of El Oued, Algeria, as a focal case for reinterpreting Globally Important Agricultural Heritage Systems (GIAHS) in the Maghreb from a collaborative governance perspective. Conventional agricultural development discourses have largely reduced Maghrebi dryland agriculture to issues of water scarcity, productivity constraints, and irrigation deficits. The Ghout case, however, demonstrates that such fragmented approaches fail to capture the sustained dynamics of oasis heritage agriculture. The Ghout system is identified as a social- ecological adaptive system that integrates a non-irrigated hydro-agricultural model based on capillary r ise, agro-biodiversity encompassing a p proximately 8 00 d ate p alm cultivars, a m ulti-layered cropp ing agroecosystem, and c ommunity-based r esource management n orms r epresented b y Touiza, R emmala, and ʿurf. Over the past two decades, four domains of cooperative interventions have targeted the Ghout system: the FAO-GEF GIAHS Dynamic Conservation Project, the Algerian hydrological infrastructure megaproject, the Mediterranean research cooperation network, and community-based autonomous activities including 134 self-financed new Ghouts. Despite their respective legitimacy, these interventions have f ailed to i ntegrate w ith one another and have e xhibited t he t yp ical pattern o f “scale m ismatch” identified in multi-level governance studies. On this basis, the study proposes four constitutive principles for restructuring GIAHS-based collaborative governance in the Maghreb: place-based cooperation, resilience- oriented cooperation, community-based governance support, and the co-production of knowledge.